AWS Data Engineer
3 hours ago
At Tiger Analytics, we're seeking a highly skilled AWS Data Engineer to join our team. As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives.
Key Responsibilities:
* Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
* Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
* Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
* Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable data solutions.
* Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Requirements:
* 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
* Hands-on experience in designing and building data pipelines
* Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
* Strong experience with Databricks, Pyspark for data processing and analytics.
* Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
* Experience with version control systems (e.g., Git) and CI/CD pipelines.
* Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
* Strong problem-solving skills and attention to detail.
What We Offer:
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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